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IBM Business Analytics Proven Practices: IBM Cognos Active Report 10.2 Cookbook
A description of the various features available within IBM Cognos Active Report and how they can be used to create and distribute interactive reporting applications.
Also available in: Chinese  
Articles 23 Jul 2015
Perform sentiment analysis in a big data environment
Public opinion views about government policies are scattered across the Internet, in Twitter and News Feeds. People can express their views quickly and easily from mobile devices, which are ubiquitous. Sentiment analysis can be performed against the data that is gathered from these disparate sources (tweets, RSS feeds, and mobile apps). This data can be aggregated, transformed, or reformatted and then stored in a Hadoop Distributed File System (HDFS). This data can be processed and analyzed as data at rest (data lake) or as data in motion (data stream).
Articles 23 Jul 2015
Use the IBM z13 SIMD unit and the IBM z/OS XL C/C++ compiler to add parallelism to your C/C++ programs
The IBM z13 hardware provides a new SIMD unit. This article describes how to use the IBM z/OS XL C/C++ language to take advantage of the new processor and exploit the enhanced parallelism it offers. This article also provides an overview of the new data types, the operations that can be done on those data types, and the built-in functions to make vector programming easier.
Articles 14 Jul 2015
Data integration and analytics as a service, Part 1: DataWorks
Most data integration specialists find that data loading and migration from a source to target are usually time-consuming and tedious tasks to perform. Now with the IBM Bluemix DataWorks service, you can load and migrate data from different sources to different targets easily. IBM DataWorks service, which includes DataWorks APIs and DataWorks Forge, allows developers to load, cleanse and profile data, in addition to migrating to different targets seamlessly. DataWorks Forge is primarily for knowledge workers and helps them to select data, visualize, and prepare it for use after enriching and improving its quality. This tutorial is Part 1 of a series covering data integration and analytics as a service.
Also available in: Chinese  
Tutorial 10 Jul 2015
Develop a predictive analytics model for a complex data set
In this tutorial, we discuss IBM dashDB, which is a data warehousing service in the cloud that provides built-in in-database analytics. We show you how to use IBM Bluemix to create an instance of dashDB on the cloud, use its R analytics capabilities to develop a predictive model for your data set, and then leverage R's Shiny application to generate interactive and robust visualizations and predictions. We use the Kaggle data science competitions as our sample data.
Also available in: Chinese  
Articles 17 Jun 2015
Installing IBM SPSS C&DS Server and other product adapters in a single installation session
The IBM SPSS Collaboration and Deployment Services product (IBM SPSS C&DS) is an application that other IBM SPSS products (Modeler, Statistics, Analytical Decision Management, and so on) use to provide enhanced capabilities. The integration between these IBM SPSS products is achieved by installing product adapters on the base C&DS Server. You can save time and effort by installing the C&DS Server and the adapters together in a single installation session by using IBM Installation Manager.
Also available in: Chinese  
Articles 22 May 2015
Build a Big SQL app using the IBM Analytics for Hadoop Service
Build a sample application that uses the IBM Analytics for Hadoop Service, which runs on a cloud-based instance of IBM InfoSphere BigInsights Enterprise Edition, to explore social media data for global coverage of the IBM Watson brand. Query the data by using Big SQL (IBM's SQL interface to its Hadoop-based platform, InfoSphere BigInsights) and deploy a WAR file that contains a Java application that reads the data. The sample application that you create for your users can dynamically run queries on the data.
Also available in: Chinese   Russian   Japanese   Portuguese  
Tutorial 08 May 2015
Develop a public transportation system simulator with Node.js and the dashDB service
This article shows you how to develop a simulator of public transportation system using cloud services such as IBM DevOps Services, IBM Bluemix, and dashDB (formerly known as Analytics Warehouse and BLU Acceleration). Developers with intermediate knowledge of JavaScript and those who want to get started with cloud services can learn how to develop a simple but useful application for data analysis and streams.
Also available in: Chinese   Russian   Japanese  
Articles 08 May 2015
Create a business intelligence and analytics service in Ruby with the dashDB service
The dashDB Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence and analytics. It is an enterprise-class managed service that is powered by the in-memory optimized, column-organized BLU Acceleration data warehouse technology. This article demonstrates how easy it is to incorporate the dashDB service into your application so that you can focus on your application.
Also available in: Chinese   Russian   Japanese   Spanish   Spanish  
Articles 08 May 2015
Build a data mining app using Java, Weka, and the dashDB service
The dashDB (formerly known as Analytics Warehouse and BLU Acceleration) service provides data warehousing and analytics as a service on IBM Bluemix. Developers can develop and deploy a heavy-duty analytic application using blazing-fast IBM BLU database technology offered in the cloud. Learn how to develop a data mining application using the Weka statistical analysis tool and leveraging the IBM BLU columnar database.
Also available in: Chinese   Russian   Japanese   Spanish  
Articles 08 May 2015
Working with wearables and Bluemix
Wearable technology devices are becoming very popular these days. They can enhance the lives of human beings and, from a technical perspective, are big drivers of big data. This article provides a survey of several wearable devices available in the market today and how you can use Bluemix services to interact with them.
Also available in: Chinese   Japanese   Portuguese  
Articles 08 May 2015
Move a toy car with your mind
Learn how to extract brain wave data from the Muse wearable device to perform an action in the real world: in this case, move a toy car. The article explains how to work with the Arduino and the toy car remote control from the hardware side; and from the software side, how to work with Bluemix to create a Node.js web application to see real-time brain wave activity.
Also available in: Chinese   Russian   Japanese   Portuguese   Spanish  
Articles 08 May 2015
Analytics for Hadoop on Bluemix, Part 1: Analytics for Hadoop on Bluemix: Sign in and access the service
Sign up for a free IBM Bluemix account, log in to Bluemix, and start the Hadoop for Analytics service.
Also available in: Chinese   Japanese   Portuguese  
Articles 08 May 2015
Build an enterprise-scale database of SEC financial data with Bluemix and Cloudant
A huge amount of unstructured or semi-structured data is available on the Internet today. NoSQL databases able to dynamically load content in nearly any shape have made putting this data into an accessible form much easier. This tutorial explains how to build or replicate a data set in the eXtensible Business Reporting Language (XBRL) format, the type used by the U.S. Securities and Exchange Commission.
Also available in: Chinese   Japanese  
Articles 06 May 2015
Collect and analyze social data without writing a single line of code
Do you think about how much you might learn from analyzing social data, but don't act because you don't have enough time or resource to build what you need? In this tutorial, we show you how easy it is to use the Node-RED workflow editor in IBM Bluemix to capture a social data feed (a Twitter feed) and then build a Hadoop Distributed File System (HDFS) file from that data. We also show you how to use the IBM Analytics for Hadoop service to analyze the data and produce summary charts. You’ll be amazed at how easy it is to turn an unknown data set into information you can use.
Also available in: Chinese   Japanese  
Articles 06 May 2015
Women in technology: Making an impact
In this video, first in a series from IBM developerWorks, some of IBM's prominent female technical leaders share their experience and insight on various technical topics.
Also available in: Japanese  
Articles 28 Apr 2015
Cyber-physical systems and smart cities
Today’s urban environments present many challenges for cyber-physical systems (CPSs) and smart cities. This article introduces CPSs and provides real-world use cases for this technology. This article also describes the social and technical challenges that smart cities will face in the near future.
Also available in: Chinese   Japanese  
Articles 20 Apr 2015
IBM Business Analytics Proven Practices: Configure Microsoft Internet Information Services 7.x for IBM Cognos 10
How to set up IBM Cognos 10 with Internet Information Services (IIS) 7.x. This document applies to IIS 7.x installed on a Windows 2008 Server (GA or R2) and all versions of IBM Cognos 10 Business Intelligence and/or Enterprise Planning. The only gateway implementations covered in this document are ISAPI and CGI as those are the only ones supported by IIS.
Also available in: Chinese  
Articles 16 Apr 2015
Integrate Hadoop with an existing RDBMS
Learn how to integrate Apache Hadoop with a relational database management system (RDBMS). In this era of rapid generation of semi-structured and unstructured data, organizations are implementing this integrated design approach. This approach is especially useful when organizations have invested heavily in RDBMSs, but they still want to harness the potential of capturing and analyzing unstructured data from sources like social media in Hadoop systems.
Also available in: Chinese   Japanese  
Articles 13 Apr 2015
IBM Business Analytics Proven Practices: Auto Cascading Multi and Single Value Prompts without Page Refresh in IBM Cognos 10 Report Studio
This document provides a technique to auto-cascade single or multi select value prompts without refreshing the page, or re-running the prompt queries.
Also available in: Russian  
Articles 26 Mar 2015
IBM Business Analytics Proven Practices: IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter
The IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter is a plugin for the Apache JMeter performance testing tool. It allows its user to monitor TM1 server activity in real-time while running an Apache JMeter performance test or to view and analyze existing TM1Top log files.
Also available in: Russian  
Articles 23 Mar 2015
Editors' picks: Top 10 Bluemix tutorials - Winter 2015
It's hard to believe how far we've come with Bluemix in the past year! Since then, IBM has announced a host of new IBM, third-party, and open source services and runtimes you can use to build, deploy, run, and manage almost any kind of application you can dream of. And over here at developerWorks, the editorial team has been working closely with top cloud and services experts to create a full library of quick-starts, tutorials, videos, and demos to show you what you can do with Bluemix and its services, and teach you how to do it quickly and easily.
Also available in: Chinese   Japanese   Portuguese  
Articles 08 Mar 2015
IBM Business Analytics Proven Practices: How to Implement a Corporate-Wide Reporting Style Using IBM Cognos BI
Many companies would like to implement their own corporate style guide across all of their reports and dashboards, truly engaging their users. This can be a huge undertaking, especially when you have many existing reports and/or intend to create many more new reports. What is the best way to approach this task? The traditional method is to modify each report one by one via the Properties pane in Report Studio. This document will describe multiple alternatives, providing advice on how to approach this problem more efficiently and effectively.
Articles 06 Mar 2015
Perform text analytics with Bluemix analytics services
This tutorial explains how to perform text analytics using the Analytics for Hadoop service and dashDB service (formerly known as the Analytics Warehouse service) on IBM Bluemix. Most of the processes are performed on a client machine with Eclipse IDE and the BigInsights plugin installed. After extracting the desired text, we use R in dashDB to plot charts with the results.
Also available in: Chinese   Russian   Japanese   Portuguese  
Articles 25 Feb 2015
Build your own wearable with IBM IoT Foundation and IBM Bluemix
Build a hybrid mobile app that connects to a wearable device and sends sensor data from the device to the cloud. You'll use IBM Bluemix, the IBM Internet of Things (IoT) Foundation, Apache Cordova, and the WICED Sense Development Kit for this tutorial's nifty do-it-yourself project.
Also available in: Chinese   Japanese  
Tutorial 24 Feb 2015
IBM Business Analytics Proven Practices: Implementing an Interactive Map Widget in IBM Cognos Workspace
This document provides the steps required to implement an Interactive Map Widget for use with IBM Cognos Workspace 10.2.1 and 10.2.2.
Articles 12 Feb 2015
IBM Business Analytics Proven Practices: A Framework For Text Classification Using IBM SPSS Modeler
This article explores building SVM-based classification framework for text classification.
Articles 11 Feb 2015
Set up and use federation in InfoSphere BigInsights Big SQL V3.0
Big SQL V3.0 supports federation to many data sources, including IBM DB2 for Linux, UNIX, and Windows, IBM PureData System for Analytics, IBM PureData System for Operational Analytics, Teradata, and Oracle. Federation enables users to send distributed requests to multiple data sources within a single SQL statement. Learn how to use the federation capabilities in Big SQL V3.0.
Also available in: Chinese  
Articles 04 Feb 2015
Leverage IBM Cognos on IBM Bluemix using the Embeddable Reporting service
Discover how easy it is to leverage Cognos on Bluemix by using the Embeddable Reporting service. In this tutorial, get step-by-step instructions on how to create, develop, and deploy an app with the Embeddable Reporting service on Bluemix from scratch.
Also available in: Chinese   Japanese   Portuguese  
Tutorial 03 Feb 2015
IBM Business Analytics Proven Practices: Access Reporter for Series 7
Access Reporter is a utility that will audit the access permissions on all objects within the Upfront datastore as well as provide all user memberships within the Series 7 namespace.
Also available in: Chinese   Russian   Spanish  
Articles 27 Jan 2015
Access Reporter for Series 7 Version 3 (cer 4)
This article has been replaced by the 'Access Reporter for Series 7' article at http://www.ibm.com/developerworks/data/library/cognos/security/series7_accman/page518.html.
Articles 27 Jan 2015
Access Reporter for Series 7 Version 2 (cer3)
Access Reporter is a utility that will audit the access permissions on all objects within the Upfront datastore as well as provide all user memberships within the Series 7 namespace. Cubes and PowerPlay reports can be built via the application as well.
Articles 27 Jan 2015
Access Reporter for Series 7 (cer2)
Access Reporter is a utility that will audit the access permissions on all objects within the Upfront datastore as well as provide all user memberships within the Series 7 namespace. Cubes and PowerPlay reports can be built via the application as well.
Articles 27 Jan 2015
Centralize logs for IBM Bluemix apps using the ELK Stack
IBM Bluemix, IBM's next-generation cloud platform, enables developers to quickly build, deploy, and manage cloud applications. Due to its cloud nature, Bluemix does not automatically persist application log files. However, it does let developers drain their logs to external log management services. This feature, coupled with the components of the ELK Stack (Elasticsearch, Logstash, and Kibana), not only provide developers a centralized location for persistent logs, but also enables them to run analytics on and visualize the log data. This article is targeted for intermediate developers who are familiar with Bluemix and have a basic familiarity with Linux. It provides a brief background on the ELK Stack and then walks you through the process of installing and configuring the components.
Also available in: Chinese   Japanese  
Tutorial 06 Jan 2015
IBM Business Analytics Proven Practices: Working with Blob Files and IBM Cognos TM1
This document outlines the blob files in Cognos TM1 which uses Architect, Performance Modeler, TM1 Web Cube Viewer and TM1 Application Server to create, manage and store blobs.
Also available in: Russian  
Articles 02 Jan 2015
IBM Business Analytics Proven Practices: Resetting All Persisted Views for an IBM Cognos TM1 Application
This document will provide tips on re-oriented cube views and charting options across various IBM Cognos TM1 applications.
Also available in: Russian  
Articles 02 Jan 2015
IBM Business Analytics Proven Practices: IBM Cognos 10 Audit Extension
A IBM Cognos 10 SDK application that provides additional auditing, including Role Auditing, for IBM Cognos 10 BI. The version of the application is 1.1.03 and it will work with IBM Cognos 10 BI versions 10.1 and up.
Also available in: Portuguese  
Articles 09 Dec 2014
Discover and use real-world terminology with IBM Watson Content Analytics
Use linguistic analysis in IBM Watson Content Analytics (WCA) to explore domain-specific terminology, and build domain dictionaries that reflect users' "real-life" vocabulary preferences. Use these dictionaries in WCA Studio to build concept annotators.
Also available in: Chinese   Japanese   Portuguese  
Articles 04 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Setting Thresholds
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Also available in: Portuguese  
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Installation
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Also available in: Portuguese  
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Loading Metrics with IBM Tivoli Directory Integrator
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: System Metrics
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Overview
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
Build an enterprise supply chain app on Bluemix
This tutorial shows how to build a Node.js app that uses cloud services on Bluemix and integrates with enterprise data and processes. Our app is a supply chain application that uses Business Rules, dashDB, and custom cloud services on Bluemix, integrated with IBM Worklight, Business Process Management (BPM), Content Management, and API Management for enterprise connectivity to corporate back-end systems.
Also available in: Chinese   Japanese   Portuguese  
Tutorial 07 Nov 2014
Integrate IBM Predictive Maintenance and Quality (PMQ) with ILS deviceWISE to onboard high-value asset data
High-value asset-based industries need to be aware of the performance of their components in a real-time mode. Handle future breakdowns or failures, and control the impact to your organization's financial performance. Feed data from level 2 systems and historians in real time to build this awareness and control. Learn to integrate IBM Predictive Maintenance and Quality with ILS deviceWISE to receive data from remote sources.
Tutorial 06 Nov 2014
Explore the advanced analytics platform, Part 5: Deep dive into discovery and visualization
In this article, explore a pattern for data lake exploration and learn the steps for data integration across the end-to-end data flow. Through a series of exploration use cases, the tutorial defines the characteristics of the exploration and their execution by using the pattern.
Also available in: Chinese   Russian  
Tutorial 28 Oct 2014
IBM Business Analytics Proven Practices: Cognos BI - Dynamic Cube Security Case Studies
This document will expand on Chapter 7 - Dimensional security of the IBM Cognos Dynamic Cube Redbook and show some examples of how the various combinations of dimensional security filters can affect the view of data your users can see.
Articles 28 Oct 2014
Deploy Open Web Analytics on your website
One of the leading open source web analytics offerings is Open Web Analytics (OWA). This article provides step-by-step instructions on deploying OWA on an IBM platform as a service (PaaS) of IBM BlueMix. Web applications hosted on Bluemix, as well as those hosted outside Bluemix, can create customizable reports containing statistics on website traffic, updates to shopping carts, page views translating into purchases, and several other useful metrics.
Also available in: Chinese   Russian   Japanese   Portuguese  
Tutorial 21 Oct 2014
IBM Business Analytics Proven Practices: IBM SPSS Modeler - ODBC Configuration Best Practices and Troubleshooting
An overview of Open Database Connectivity (ODBC) configuration, best practices when performing these tasks, and troubleshooting techniques to assist in the resolution of common problems in this area.
Articles 14 Oct 2014
Analytics for Hadoop on Bluemix, Part 3: Analytics for Hadoop on Bluemix: Load data into InfoSphere BigInsights
Load data into your InfoSphere BigInsights Hadoop environment, understand the options available to you, and quickly review the data at hand.
Also available in: Chinese   Japanese   Portuguese  
Articles 02 Oct 2014
Analytics for Hadoop on Bluemix, Part 4: Analytics for Hadoop on Bluemix: Explore data with BigSheets
Immediately analyze and review big data by using the IBM BigSheets application: a spreadsheet-like tool that can model, filter, combine, and chart data that is collected from multiple sources.
Also available in: Chinese   Japanese   Portuguese  
Articles 02 Oct 2014
Analytics for Hadoop on Bluemix, Part 2: Analytics for Hadoop on Bluemix: Navigate the BigInsights web console
Use the IBM InfoSphere BigInsights web console to check the status of services, view the health of your system, and monitor the status of your big data environment.
Also available in: Chinese   Japanese   Portuguese  
Articles 02 Oct 2014
In case you missed it: The top 10 Big data and analytics tutorials in 2014
Take a look at the 10 most popular pieces of Big data and analytics content in 2014, all aimed to help you learn to leverage the tools and technologies to harness and analyze data.
Also available in: Chinese   Russian  
Articles 26 Sep 2014
Editors' picks: Top 15 Bluemix tutorials
If you've been following developerWorks over the last few months, you've noticed how excited we are about Bluemix, IBM's open-standards cloud platform. Using Bluemix, along with IBM, third-party, and open source services, you can build, deploy, run, and manage almost any kind of application you can dream of. We've published so much content about Bluemix and its many services and runtimes that we wanted to step back and give you a look at what we think are some of the very best tutorials we've published on this exciting topic. So here it is, the Bluemix Top 15 as chosen by the developerWorks editorial team!
Also available in: Chinese   Portuguese   Spanish  
Articles 22 Sep 2014
Improving the customer experience with IBM Tealeaf
This article illustrates the IBM Tealeaf cxReveal installation and various required configurations. The purpose is to explore IBM Tealeaf cxReveal function with the installation, configurations, enable cxReveal group, and user for Search menu (top option) into the Tealeaf portal. The configuration of Tealeaf Event Bus, Session Attributes, Events, Hit Attributes and others are described in detail.
Articles 18 Sep 2014
Build a Shiny application to analyze #Bluemix sentiment using the Bluemix R custom buildpack
Create a Shiny application that analyzes the popularity of entities on Twitter and performs a sentiment analysis of the tweets using R. Learn how to run R on IBM Bluemix using a custom buildpack. Customize your application to perform any kind of complex analysis on your data stored in the cloud.
Also available in: Chinese   Japanese   Spanish  
Articles 11 Sep 2014
Explore the advanced analytics platform, Part 6: Dive into orchestration with a combination of SPSS, Operational Decision Management (ODM), and Streams using care and fraud management case studies
An essential component of any analytics platform is the ability to analyze large volumes of data at high velocity that results in real-time actionable steps. Often, intelligent processes require attention and focus on a few "out of range" observations midst a much larger field of "normal" observations. The real-time action requires selecting, focusing, and investigating these observations while dealing with data-in-motion. At the same time, we must understand historical trends and adapt to the changing definition of "out of range". This article describes the D4 (Discover, Detect, Decide, Drive) pattern, which permits high-speed analytics with rapid execution while under extreme data velocity and volume requirements. We then introduce two example use cases, identify architecture components, and discuss some integration design considerations common with the D4 pattern.
Also available in: Chinese   Russian  
Articles 05 Sep 2014
Feed InfoSphere Streams applications with live data from databases
This tutorial shows you how to connect IBM InfoSphere Data Replication Change Data Capture (CDC) as a near real-time data source for InfoSphere Streams. Walk through several integration options for a ready-to-use and custom user exit, then explore the pros and cons of each. Downloadable example sources for the user exit are provided and can be customized to fit your requirements.
Also available in: Russian  
Articles 04 Sep 2014
Analyze game data from the Oculus Rift using Bluemix
An interactive user environment makes learning based on digital games attractive and efficient. And the data collected can help game developers improve the game's educational value. See how data collected from the Oculus Rift virtual reality device can be streamed to a Bluemix server for analysis. The BlueMix application stores all data from the Rift, such as the user's head movement, which can be analyzed to gain insight into the learning rate.
Also available in: Chinese   Russian   Japanese   Vietnamese   Portuguese   Spanish  
Tutorial 04 Sep 2014
IBM Business Analytics Proven Practices: SPSS Modeler Premium Entity Analytics Technical Q&A
This document addresses some of the frequently asked questions regarding IBM SPSS Modeler Premium Entity Analytics (EA) ranging from what is EA through technical details on how to use the product.
Articles 03 Sep 2014
Integrate the BIRT Viewer with Java and Java EE web applications
Learn to integrate the Business Intelligence and Reporting Tools (BIRT) Report viewer with a custom Java and Java Platform, Enterprise Edition (Java EE) web application. Also, use the features of the BIRT report viewer application in custom web applications.
Also available in: Chinese   Japanese  
Tutorial 02 Sep 2014
IBM Cognos Proven Practices: IBM Cognos TM1 FEEDERS
One of the more advanced concepts in the development of IBM Cognos TM1 cubes is the proper implementation of FEEDERS within TM1 rules. This document describes FEEDERS and how to use them effectively for improved performance when building IBM Cognos TM1 cubes.
Also available in: Russian   Spanish  
Articles 02 Sep 2014
IBM Business Analytics Proven Practices: How to implement element or cube based security for IBM Cognos TM1
Implementing element or cube based security for IBM Cognos TM1.
Also available in: Russian  
Articles 02 Sep 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Authentication and Single Sign-On
Implement seamless authentication between security systems and IBM Cognos BI, using these guidelines. This document contains important information about the technical concepts and backgrounds involved and the design of authentication and single sign-on (SSO) functionality in IBM Cognos BI. It also discusses setting expectations regarding supported vs unsupported environments and information that must be gathered for troubleshooting the IBM Cognos BI side of things. This document is intended for security architects and administrators designing authentication for a system includes Cognos BI.
Also available in: Chinese  
Articles 19 Aug 2014
Agile migration of a single-node cluster from MapReduce Version 1 to YARN
YARN is a completely rewritten architecture of the processing platform in a Hadoop cluster. It makes computation much more scalable, efficient, and flexible compared to the classic MapReduce engine available in the first version of Hadoop. YARN has been considered production-ready since October 2013, and it is now used in production by many companies such as Yahoo!, Spotify, eBay, Xing, and Allegro, to name a few. Learn how to migrate a Hadoop cluster from MapReduce Version 1 (MRv1) to YARN in an agile way.
Also available in: Chinese   Russian   Japanese  
Articles 12 Aug 2014
Introduction to YARN
Apache Hadoop is one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers. As a result, the 2.0 version offers several revolutionary features, including Yet Another Resource Negotiator (YARN), HDFS Federation, and a highly available NameNode, which make the Hadoop cluster much more efficient, powerful, and reliable. In this article, learn about the advantages YARN provides over the previous version of the distributed processing layer in Hadoop.
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Articles 12 Aug 2014
Agile migration from MapReduce Version 1 to YARN for more robust YARN Hadoop clusters
The developerWorks tutorial "Agile migration of a single-node cluster from MapReduce Version 1 to YARN" guides you through the process of uninstalling MRv1 packages, installing YARN packages on a Hadoop cluster, starting necessary YARN daemons, and configuring mandatory configuration settings to ensure that a cluster runs Java MapReduce jobs successfully. This tutorial expands the description of the YARN Hadoop cluster to include three more features that make Hadoop clusters more robust and functional.
Also available in: Japanese  
Articles 12 Aug 2014
IBM Business Analytics Proven Practices: Tips and Techniques on working with IBM Cognos TM1 Web
Tips and Techniques on how to build models using IBM Cognos TM1 Web.
Also available in: Russian  
Articles 12 Aug 2014
A brief comparative perspective on SQL access for Hadoop
Although Hadoop is often thought of as the one-size-fits-all solution for big data processing problems, the project is limited in its ability to manage large-scale graph processing, stream processing, and scalable processing of structured data. Learn about Big SQL, a massively parallel processing SQL engine that is optimized for processing large-scale structured data. See how it compares to other systems that were recently introduced to improve the efficiency of the Hadoop framework for processing large-scale structured data.
Also available in: Chinese   Russian  
Articles 12 Aug 2014
IBM Business Analytics Proven Practices: SPSS Collaboration and Deployment Services - Top 5 Uses
The IBM SPSS Collaboration and Deployment Services product (a.k.a. C&DS) is a JEE based application that can be leveraged by other IBM SPSS products (Modeler, Statistics, Analytical Decision Management, etc.) to provide additional capabilities. This article will describe five ways that C&DS can be used to enhance your IBM predictive analytic solution.
Also available in: Chinese  
Articles 06 Aug 2014
Processing and content analysis of various document types using MapReduce and InfoSphere BigInsights
Businesses often need to analyze large numbers of documents of various file types. Apache Tika is a free open source library that extracts text contents from a variety of document formats, such as Microsoft Word, RTF, and PDF. Learn how to run Tika in a MapReduce job within InfoSphere BigInsights to analyze a large set of binary documents in parallel. Explore how to optimize MapReduce for the analysis of a large number of smaller files. Learn to create a Jaql module that makes MapReduce technology available to non-Java programmers to run scalable MapReduce jobs to process, analyze, and convert data within Hadoop.
Also available in: Chinese   Russian  
Articles 29 Jul 2014
Customer segmentation analytics with IBM SPSS
Learn how to segment customers by using IBM SPSS, IBM PureData System for Analytics powered by Netezza, and IBM DB2 for Linux, UNIX, and Windows. Merge data from disparate data sources, create a predictive model, and use it to segment customers taking into consideration multiple dimensions, such as age, income, education, etc.
Also available in: Chinese   Russian  
Articles 22 Jul 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 2: Configuring domain-specific linguistic resources
This two-part series of articles demonstrates text mining with IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 of the series presents sample survey data about touchscreen devices and presents an analysis of the data that uses built-in linguistic resources of SPSS Text Analytics for Surveys. Part 2 starts from the conclusions that are drawn in Part 1. It explores more features of SPSS Text Analytics for Surveys with special focus on how to configure user-defined resources to examine domain-specific terminology. It describes the process of categorizing responses that are based on user-defined rules.
Also available in: Russian  
Articles 15 Jul 2014
Deploy InfoSphere MDM Collaborative Edition onto a cluster, Part 1: Strategies for mixed clustered topologies on an application server
This two-part tutorial shows how to set up a typical IBM InfoSphere Master Data Management (MDM) Collaborative Edition V11 clustered environment. This first part describes how to deploy InfoSphere MDM Collaborative Edition V11 onto a cluster. Follow along step-by-step with detailed examples of several clustering strategies. Also learn about the required configuration to enable the IBM HTTP Server for caching and load balancing the cluster nodes.
Articles 10 Jul 2014
Create new nodes for IBM SPSS Modeler 16 using R
IBM SPSS Modeler, a powerful analytic tool, supports all phases of a data mining process, including data preparation, model building, deployment, and model maintenance. The IBM SPSS Modeler UI makes use of a visual data mining workbench that provides built-in data preparation, modeling, and output nodes that enable rapid development of the analytic assets.
Also available in: Chinese   Russian  
Articles 08 Jul 2014
Hadoop in cloud deployments
Hadoop and the cloud seem to be ideal companions. They both contain flexible and distributed processing and storage, and they are married with a flexible instance system. They also enable you to grow and shrink your Hadoop cluster with your data and processing requirements. But this raises a variety of different management and scheduling issues. This article looks at all of these issues and more, as it describes the challenges and advantages of a cloud-based Hadoop deployment.
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Articles 03 Jul 2014
IBM Cognos Business Intelligence
Download IBM Cognos Business Intelligence Developer Edition V10.2.1. IBM Cognos BI Developer Edition enables you to learn a rich set of business intelligence capabilities without incurring any upfront costs. Access any and all data sources and use reporting and analysis to experiment with how to deliver relevant information how, when, and where it is needed. Broaden your skills and learn how to build BI applications based on enterprise-class SOA foundation. Expand your opportunities in BI and become an IBM partner.
Also available in: Chinese   Portuguese  
Trial Downloads 02 Jul 2014
Data warehouse augmentation, Part 4: Use big data technologies for initial data exploration
The goal of the data warehouse is to use the data available in the enterprise and limited external data to yield business insight. In traditional settings, the volume of data is limited to a few terabytes, and the data is primarily operational and transactional in nature. Unstructured data is not available for analysis because of the limitations of the existing data warehouse. Consider by using big data technologies to incrementally augment with the existing data warehouse to gain better business insight from data that was previously unavailable for analysis.
Also available in: Russian   Japanese  
Articles 01 Jul 2014
Do it yourself: Build a remote surveillance app using Bluemix, Cloudant, and Raspberry Pi
To build a simple surveillance system, create an IBM Bluemix app to send pictures taken by the camera module of a Raspberry Pi device to Cloudant and how to use Node.js to display them on a web page.
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Articles 30 Jun 2014
Explore the eXtreme Scale-based caching service options in IBM PureApplication System
Caching services are a popular solution to address performance and scalability issues for cloud enterprise applications. Explore three caching options available with the IBM PureApplication System cloud system: One built-in, one based on WebSphere eXtreme Scale that uses a virtual system pattern on a cluster, and one based on eXtreme Scale that uses a VSP with a core OS image.
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Articles 28 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos BI 10.2.1.x JMeter Stability Package
This stability test, designed for IBM Cognos 10.2.1.x, demonstrates how to use standard JMeter to stability test an IBM Cognos BI system of that version. No knowledge prerequisites required.
Articles 26 Jun 2014
Data warehouse augmentation, Part 3: Use big data technology for an active archive
Use big data technology to set up an active archive for the data from the enterprise data warehouse. Learn how a big data solution based on Hadoop is an ideal platform to build an active archive for historical data in a data warehouse. This article covers the architecture, tools, and techniques that you can use to design an active archive.
Also available in: Russian   Japanese  
Articles 24 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes Hardware Sizing Recommendations
This document discusses some of the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for 10.2.1 FP1 and 10.2.1.1 IF3.
Also available in: Russian  
Articles 24 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes - Near Real Time and Cross Database Queries
This document discusses some of the the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for Cognos BI 10.2.1 and 10.2.1 FP1.
Also available in: Chinese  
Articles 20 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 XMI Extractor
How to use the IBM Cognos TM1 XMI Extractor tool to extract metadata information from TM1 in the XML Metadata Interchange (XMI) format for consumption by IBM InfoSphere Information Server.
Articles 20 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 2: Use the InfoSphere BigInsights connector to perform analysis using Jaql and SQL
Learn to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results using SQL.
Also available in: Russian  
Articles 17 Jun 2014
Chain and link predefined sequence applications using InfoSphere BigInsights
By chaining and linking sequences of code, software developers can now create custom applications using InfoSphere BigInsights, organize data sources using BigSheets, enhance Apache Hadoop indexing with BigIndex, and even schedule automated MapReduce jobs using the InfoSphere BigInsights scheduler. Discover how your organization can gain value-added productivity without having to purchase additional software.
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Articles 17 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 1: Set up the InfoSphere BigInsights connector for DB2 for z/OS
Learn how to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, learn to create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results with SQL.
Also available in: Russian  
Articles 17 Jun 2014
IBM Business Analytics Proven Practices: Entity Analytics Performance Guide for DB2
DB2 tuning guidance around SPSS Modeler Premium Entity Analytics.
Also available in: Russian  
Articles 11 Jun 2014
Data warehouse augmentation, Part 2: Use big data technologies as a landing zone for source data
Use a Hadoop environment as the landing zone to pull in data from various sources, process it, and transfer the processed data to the existing data warehouse or other repositories. Explore scenarios of different ways to implement a landing zone. Learn about the architecture of the zone and the tools and techniques for integrating it with various environments.
Also available in: Russian   Japanese  
Articles 10 Jun 2014
IBM Business Analytics Proven Practices: Configure Cube Designer for accessing an SSL enabled BI Gateway
An explanation of the steps required to configure IBM Cognos BI Cube Designer for accessing a Secure Sockets Layer (SSL) enabled Cognos BI Gateway.
Also available in: Russian  
Articles 05 Jun 2014
Implementing security within PureData System for Hadoop
Learn about the types of security features integrated with the IBM PureData for Hadoop appliance. Configure and use different authentication methods for users and groups, the credentials store, and session tokens. Also learn to implement reverse proxy and Big SQL security.
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Articles 04 Jun 2014
IBM Business Analytics Proven Practices: Design Measures of Distribution Skewness and Kurtosis in IBM Cognos Report Studio
This document will have all the steps to dynamically calculate kurtosis and skewness of a distribution (or data set) that report authors can use in Report Studio along with charts as part of descriptive statistics.
Also available in: Russian  
Articles 04 Jun 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 1: Exploring sample survey data
This two-part series of articles steps through the process of text mining by using IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 describes the objectives of survey text mining and presents sample data of a survey for analysis. In a tour of survey analytics, explore the capabilities of SPSS Text Analytics for Surveys in a step-by-step manner. Every step shows you a bit of information about your sample data. Learn how to use SPSS Text Analytics for Surveys to completely decipher survey data.
Also available in: Russian  
Articles 03 Jun 2014
IBM Business Analytics Proven Practices: Time Dimension in IBM Cognos TM1 Performance Modeler and IBM Cognos Insight
The article will explain how time dimensions work in IBM Cognos Insight and IBM Cognos TM1 Performance Modeler and describe how a date time dimension can be created from scratch as well as imported from an existing data source. It will also demonstrate how the time roll-up feature can be used to create simple analyses.
Also available in: Russian  
Articles 29 May 2014
Data warehouse augmentation, Part 1: Big data and data warehouse augmentation
Current data warehouse tools and technologies cannot handle the load that new data sources and analytic workloads bring to an enterprise data warehouse. To augment existing data warehouse solutions, organizations must implement big data technology within the context of the traditional data warehouse. This series, intended for data warehouse architects and information architects who work with traditional data warehouses, describes how to combine traditional and big data technologies to maximize and augment the effectiveness of existing data warehouses.
Also available in: Russian   Japanese   Spanish  
Articles 27 May 2014
Pig versus Hive: Benchmarking high level query languages
This article presents benchmarking results of two benchmarking sets applied to Hive and Pig, running on Hadoop 0.14.1. In the first benchmarking study, the Apache Pig benchmark (Apache Foundation, 11/07/07) was replicated. In the second study, results were obtained by applying TPC-H benchmarks. (TPC-H is a decision support benchmark published by the Transaction Processing Performance Council, an organization founded to define global database benchmarks). The two studies showed conflicting results.
Articles 27 May 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 - Multilingual Cubes Using Cube Views
This document will demonstrate how to utilize aliases, subsets, and TM1 Cube Views to display TM1 cubes in a different language.
Also available in: Russian  
Articles 26 May 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Report Studio - Measure Based Value Prompt
Create a value prompt on a measure data item in an IBM Cognos BI Report Studio report using a relational package and prevent the aggregation of those values in the prompt selection, using the steps described in this article.
Also available in: Russian  
Articles 15 May 2014
IBM Business Analytics Proven Practices: Steps to Design a Histogram in IBM Cognos Report Studio
A description of the design and development of a histogram chart, which is a statistical process control chart. Report authors can use the steps in this article as a template for designing their customized histogram.
Also available in: Russian  
Articles 13 May 2014

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